References of "Litvak, Vladimir"
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See detailEEG andMEG Data Analysis in SPM8
Litvak, Vladimir; Mattout, Jérémie; Kiebel, Stefan et al

in Computational Intelligence and Neuroscience (2011), 2011(ID 852961), 32

SPMis a free and open source software written inMATLAB (The MathWorks, Inc.). In addition to standardM/EEG preprocessing, we presently offer three main analysis tools: (i) statistical analysis of scalp ... [more ▼]

SPMis a free and open source software written inMATLAB (The MathWorks, Inc.). In addition to standardM/EEG preprocessing, we presently offer three main analysis tools: (i) statistical analysis of scalp-maps, time-frequency images, and volumetric 3D source reconstruction images based on the general linear model, with correction for multiple comparisons using random field theory; (ii) Bayesian M/EEG source reconstruction, including support for group studies, simultaneous EEG and MEG, and fMRI priors; (iii) dynamic causal modelling (DCM), an approach combining neural modelling with data analysis for which there are several variants dealing with evoked responses, steady state responses (power spectra and cross-spectra), induced responses, and phase coupling. SPM8 is integrated with the FieldTrip toolbox , making it possible for users to combine a variety of standard analysis methods with new schemes implemented in SPM and build custom analysis tools using powerful graphical user interface (GUI) and batching tools. [less ▲]

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See detailPreserved feedforward but impaired top-down processes in the vegetative state.
Boly, Mélanie ULg; Garrido, Marta Isabel; Gosseries, Olivia ULg et al

in Science (2011), 332(6031), 858-62

Frontoparietal cortex is involved in the explicit processing (awareness) of stimuli. Frontoparietal activation has also been found in studies of subliminal stimulus processing. We hypothesized that an ... [more ▼]

Frontoparietal cortex is involved in the explicit processing (awareness) of stimuli. Frontoparietal activation has also been found in studies of subliminal stimulus processing. We hypothesized that an impairment of top-down processes, involved in recurrent neuronal message-passing and the generation of long-latency electrophysiological responses, might provide a more reliable correlate of consciousness in severely brain-damaged patients, than frontoparietal responses. We measured effective connectivity during a mismatch negativity paradigm and found that the only significant difference between patients in a vegetative state and controls was an impairment of backward connectivity from frontal to temporal cortices. This result emphasizes the importance of top-down projections in recurrent processing that involve high-order associative cortices for conscious perception. [less ▲]

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See detailResponse to comment on "preserved feedforward but impaired top-down processes in the vegetative state".
Boly, Mélanie ULg; Garrido, Marta Isabel; Gosseries, Olivia ULg et al

in Science (2011), 334(6060), 1203

King et al. raise some technical issues about our recent study showing impaired top-down processes in the vegetative state. We welcome the opportunity to provide more details about our methods and results ... [more ▼]

King et al. raise some technical issues about our recent study showing impaired top-down processes in the vegetative state. We welcome the opportunity to provide more details about our methods and results and to resolve their concerns. We substantiate our interpretation of the results and provide a point-by-point response to the issues raised. [less ▲]

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See detailStatistical Parametric Mapping
Ashburner, John; Barnes, Gareth; Chen, Chun-Chuan et al

Software (1994)

Statistical Parametric Mapping refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional imaging data. These ideas have been ... [more ▼]

Statistical Parametric Mapping refers to the construction and assessment of spatially extended statistical processes used to test hypotheses about functional imaging data. These ideas have been instantiated in software that is called SPM. The SPM software package has been designed for the analysis of brain imaging data sequences. The sequences can be a series of images from different cohorts, or time-series from the same subject. The current release is designed for the analysis of fMRI, PET, SPECT, EEG and MEG. [less ▲]

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